Engineer IV Applied AI

JOB SUMMARY

Responsible for designing developing implementing and supporting AI-powered solutions that address business challenges and create operational efficiencies across the organization. Leverages existing large language models (LLMs) retrieval-augmented generation (RAG) architectures agentic workflows data platforms and software engineering practices to develop scalable solutions that enhance business processes customer experiences and decision-making capabilities. Partners closely with business stakeholders product teams and technology teams to identify opportunities translate business needs into technical solutions and deliver production-ready AI applications and services.

ESSENTIAL DUTIES AND RESPONSIBILITIES

AI Solution Design & Development

Design develop implement and support AI-powered applications and services utilizing large language models (LLMs) agentic workflows prompt engineering techniques APIs and retrieval-augmented generation (RAG) architectures.

Evaluate business requirements and translate complex or ambiguous business problems into scalable technical solutions.

Research evaluate prototype and recommend AI technologies tools platforms and vendors to support business objectives.

Design and develop conversational AI solutions chatbots virtual assistants and intelligent workflow automation capabilities.

Data Integration & Engineering

Develop and maintain integrations between AI solutions enterprise applications APIs databases and cloud data platforms.

Query transform structure and manage data to support AI and machine learning solutions utilizing platforms such as Snowflake and related technologies.

Develop and maintain retrieval pipelines semantic search capabilities vector databases and data services supporting AI-enabled solutions.

Ensure data quality security governance and performance requirements are met within assigned solutions.

Solution Delivery & Operational Support

Deploy monitor maintain and optimize AI solutions in production environments.

Monitor application performance reliability utilization and operating costs and implement improvements as appropriate.

Troubleshoot application integration and data issues and provide timely resolution to support business operations.

Create and maintain technical documentation solution architecture diagrams standards and support materials.

Business Partnership & Innovation

Partner with business stakeholders product teams and technology teams to identify opportunities for AI adoption and process automation.

Provide technical leadership and subject matter expertise related to applied AI technologies and emerging industry trends.

Support pilot programs proofs of concept and innovation initiatives that advance organizational capabilities.

Promote adoption of AI-enabled solutions through training knowledge transfer and stakeholder engagement.

Continuous Improvement

Stay current with developments in artificial intelligence machine learning software engineering and data technologies.

Continuously evaluate solution effectiveness and recommend enhancements to improve business value quality scalability reliability and user experience.

Participate in architecture reviews code reviews and development best practices to ensure high-quality solution delivery.

MANAGEMENT & SUPERVISORY RESPONSIBILTIES

Typically reports to an Engineering Manager Director of Engineering Director of AI or other technology leadership position.

Functions as a senior-level individual contributor.

May provide technical leadership mentoring and guidance to engineers analysts and project teams.

No direct supervisory responsibility.

JOB QUALIFICATIONS: Education & Experience Requirements

Education

Bachelors degree in Computer Science Engineering Data Science Mathematics Information Technology or related field required.

Masters degree preferred.

Equivalent combination of education training and experience may be considered.

Experience

Minimum of 7 years of progressive software engineering data engineering artificial intelligence machine learning or related technology experience.

Minimum of 3 years of experience designing building and deploying AI-enabled solutions within production environments.

Experience developing applications using LLMs AI APIs prompt engineering retrieval-augmented generation (RAG) and agentic workflow technologies.

Experience with Python development APIs integrations and cloud-based technologies.

Experience working with Snowflake SQL data transformation and enterprise data platforms.

Experience implementing and supporting AI applications using modern frameworks and orchestration tools.

Strong analytical problem-solving organizational and communication skills.

Experience leading technical initiatives and influencing cross-functional teams preferred.

Required Experience:

IC